Evidence map›Paper›PMID 38850269›Full record

ArticleMicrobial biotechnology2024

High-cell-density fed-batch strategy to manufacture tailor-made P(HB-co-HHx) by engineered Ralstonia eutropha at laboratory scale and pilot scale.

Isabel Thiele, Lara Santolin, Svea Detels, Riccardo Osele, Peter Neubauer, Sebastian L Riedel

Abstract read
In one paragraph

Article in Microbial biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Polyhydroxykanoate-Assisted Photocatalytic TiOLangmuir : the ACS journal of surfaces and colloids · 2024
    Article
  5. Review
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Isabel ThieleChair of Bioprocess Engineering, Institute of Biotechnology, Technische Universität Berlin, Berlin, Germany.ORCID 0000-0003-2871-7399
Lara SantolinChair of Bioprocess Engineering, Institute of Biotechnology, Technische Universität Berlin, Berlin, Germany.ORCID 0000-0003-1056-1357
Svea DetelsChair of Bioprocess Engineering, Institute of Biotechnology, Technische Universität Berlin, Berlin, Germany.
Riccardo OseleChair of Bioprocess Engineering, Institute of Biotechnology, Technische Universität Berlin, Berlin, Germany.
Peter NeubauerChair of Bioprocess Engineering, Institute of Biotechnology, Technische Universität Berlin, Berlin, Germany.ORCID 0000-0002-1214-9713
Sebastian L RiedelChair of Bioprocess Engineering, Institute of Biotechnology, Technische Universität Berlin, Berlin, Germany.ORCID 0000-0003-1373-417X

Funding

Bundesministerium für Bildung und Forschung 031B0833A
6 · The paper itself

Abstract

The transition towards a sustainable bioeconomy requires the development of highly efficient bioprocesses that enable the production of bulk materials at a competitive price. This is particularly crucial for driving the commercialization of polyhydroxyalkanoates (PHAs) as biobased and biodegradable plastic substitutes. Among these, the copolymer poly(hydroxybutyrate-co-hydroxyhexanoate) (P(HB-co-HHx)) shows excellent material properties that can be tuned by regulating its monomer composition. In this study, we developed a high-cell-density fed-batch strategy using mixtures of fructose and canola oil to modulate the molar composition of P(HB-co-HHx) produced by Ralstonia eutropha Re2058/pCB113 at 1-L laboratory scale up to 150-L pilot scale. With cell densities >100 g L

Indexed as

BiopolymersCupriavidus necatorGenetic EngineeringPolyhydroxyalkanoatesBioreactorsFructosePilot ProjectsRapeseed OilBiopolymersFructosePolyhydroxyalkanoatesRapeseed Oil

Identifiers

PMID38850269
PMCPMC11162103

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.